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Toponym Recognition on Turkish Tweets

2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
In recent years, Twitter has become a popular platform for following and spreading trends, news and ideas all over the world. Geographical scope of tweets is crucial to many tasks like disaster management, event tracking and information retrieval. First step for assigning a geographical location to a tweet is toponym recognition.
Ruken Cakici, Pinar Karagöz, Kezban Dilek Onal   +2 more
exaly   +4 more sources

Toponym Recognition in Social Media for Estimating the Location of Events

2015 IEEE International Conference on Data Mining Workshop (ICDMW), 2015
Prominence of social media such as Twitter and Facebook led to a huge collection of data over which event detection provides useful results. An important dimension of event detection is location estimation for detected events. Social media provides a variety of clues for location, such as geographical annotation from smart devices, location field in ...
Pinar Karagöz
exaly   +4 more sources

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ChineseTR: A Weakly Supervised Toponym Recognition Architecture Based on Automatic Training Data Generator and Deep Neural Network

Transactions in GIS, 2022
AbstractToponym recognition is used to extract toponyms from natural language texts, which is a fundamental task of ubiquitous geographic information applications. Existing toponym recognition methods with state‐of‐the‐art performance mainly leverage supervised learning (i.e., deep‐learning‐based approaches) with parameters learned from massive ...
Qinjun Qiu, Kai Sun, Yunqiang Zhu
exaly   +3 more sources

Chinese Toponym Recognition With Variant Neural Structures From Social Media Messages Based on BERT Methods

Journal of Geographical Systems, 2022
Zhong Xie, Qinjun Qiu, Yongjian Tan
exaly   +2 more sources

EIBC: A Deep Learning Framework for Chinese Toponym Recognition With Multiple Layers

Journal of Geographical Systems
Yijiang Zhao, Yizhi Liu
exaly   +3 more sources

RASpan: Improving Toponym Recognition Through Span Representation Model With Retrieval Augmentation

Expert Systems With Applications
Anran Yang, Luo Chen, Hui Wu
exaly   +3 more sources

Deep Learning for Chinese Toponym Recognition: A BiLSTM-CRF Based Approach

2025 6th International Conference on Computer Engineering and Application (ICCEA)
Peng Ye
exaly   +2 more sources

A Semi-Supervised Chinese Toponym Recognition Methods Combining Active Learning and Self-Training

Journal of Geographical Systems
Yijiang Zhao, Yizhi Liu, Luo Jing
exaly   +2 more sources

Resolving Ambiguities in Toponym Recognition in Cartographic Maps

2004
To date many methods and programs for automatic text recognition exist. However there are no effective text recognition systems for graphic documents. Graphic documents usually contain a great variety of textual information. As a rule the text appears in arbitrary spatial positions, in different fonts, sizes and colors.
Alexander F. Gelbukh, Serguei Levachkine, Sang-Yong Han   +2 more
openaire   +2 more sources

NeuroTPR: A neuro‐net toponym recognition model for extracting locations from social media messages

Transactions in GIS, 2020
Abstract Social media messages, such as tweets, are frequently used by people during natural disasters to share real‐time information and to report incidents. Within these messages, geographic locations are often described. Accurate recognition and geolocation of these locations are critical for reaching those in need.
Jimin Wang, Yingjie Hu 0001, Kenneth Joseph   +2 more
openaire   +2 more sources